Backtesting Trading Strategies with GAN To Avoid Overfitting

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === Many works have shown the overfitting hazard of selecting a trading strategy based only on good IS (in sample) performance. But most of them have merely shown such phenomena exist without offering ways to avoid them. We propose an approach to avoid overfitting:...

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Bibliographic Details
Main Authors: Ao Sun, 孫奧
Other Authors: 呂育道
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/232z9x
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spelling ndltd-TW-106NTU053921142019-07-25T04:46:48Z http://ndltd.ncl.edu.tw/handle/232z9x Backtesting Trading Strategies with GAN To Avoid Overfitting 應用GAN於回測交易策略以避免過擬合 Ao Sun 孫奧 碩士 國立臺灣大學 資訊工程學研究所 106 Many works have shown the overfitting hazard of selecting a trading strategy based only on good IS (in sample) performance. But most of them have merely shown such phenomena exist without offering ways to avoid them. We propose an approach to avoid overfitting: A good (meaning non-overfitting) trading strategy should still work well on paths generated in accordance with the distribution of the historical data. We use GAN with LSTM to learn or fit the distribution of the historical time series . Then trading strategies are backtested by the paths generated by GAN to avoid overfitting 呂育道 2018 學位論文 ; thesis 44 zh-TW
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description 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === Many works have shown the overfitting hazard of selecting a trading strategy based only on good IS (in sample) performance. But most of them have merely shown such phenomena exist without offering ways to avoid them. We propose an approach to avoid overfitting: A good (meaning non-overfitting) trading strategy should still work well on paths generated in accordance with the distribution of the historical data. We use GAN with LSTM to learn or fit the distribution of the historical time series . Then trading strategies are backtested by the paths generated by GAN to avoid overfitting
author2 呂育道
author_facet 呂育道
Ao Sun
孫奧
author Ao Sun
孫奧
spellingShingle Ao Sun
孫奧
Backtesting Trading Strategies with GAN To Avoid Overfitting
author_sort Ao Sun
title Backtesting Trading Strategies with GAN To Avoid Overfitting
title_short Backtesting Trading Strategies with GAN To Avoid Overfitting
title_full Backtesting Trading Strategies with GAN To Avoid Overfitting
title_fullStr Backtesting Trading Strategies with GAN To Avoid Overfitting
title_full_unstemmed Backtesting Trading Strategies with GAN To Avoid Overfitting
title_sort backtesting trading strategies with gan to avoid overfitting
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/232z9x
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